Data Scientist / AI Engineer in HR agency

Responsibilities

- Building and training models (NLP, recommender systems).

- Building AI automations for analysis, sorting, and classification.

- A/B testing of models.

- Using GPT/LLM for data generation and analysis.

- Building ML systems for predictive analytics.

Checklist

- Experience as a Data Scientist / AI Engineer.

- Experience with Python (with Pandas, scikit-learn, PyTorch/TensorFlow libraries).

- Knowledge of statistical methods and data modeling techniques to build accurate models.

- GPT/LLM - experience with GPT and large language models (LLM), use of OpenAI API, LangChain, and knowledge of natural language processing (NLP).

- A/B testing - experience in conducting A/B tests to analyze the effectiveness of different models or strategies.

- MLflow - experience using MLflow to manage the machine learning lifecycle.

- Experience with visualization tools such as Tableau and Power BI.

- Cloud ML - Experience with cloud-based machine learning platforms such as GCP, AWS, or Azure.

Optional:

- Knowledge of English is desirable, but not mandatory.

Working conditions

- Fully remote work or hybrid model for candidates in Warsaw.

- Participation in creating products from scratch.

- Direct opportunity to influence business.

- Growth in the direction of AI.

- Complete autonomy.

Interview stages

1. Interview with a technical expert;

2. Proposal.